{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This allows multiple outputs from a single jupyter notebook cell:\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "InteractiveShell.ast_node_interactivity = \"all\"\n",
    "%matplotlib inline\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Build Status](https://travis-ci.org/matplotlib/mplfinance.svg?branch=master)](https://travis-ci.org/matplotlib/mplfinance)\n",
    "\n",
    "# mplfinance\n",
    "## matplotlib utilities for the visualization, and visual analysis, of financial data\n",
    "\n",
    "---\n",
    "\n",
    "# Installation\n",
    "## &nbsp;&nbsp;&nbsp;`pip install --upgrade mplfinance`\n",
    "   - mplfinance requires [matplotlib](https://pypi.org/project/matplotlib/) and [pandas](https://pypi.org/project/pandas/)\n",
    "\n",
    "---\n",
    "\n",
    "# Contents\n",
    "\n",
    "  - **[The New API](https://github.com/matplotlib/mplfinance#newapi)**\n",
    "  - **[Basic Usage](https://github.com/matplotlib/mplfinance#usage)**\n",
    "  - **[Adding Your Own Technical Studies to Plots](https://github.com/matplotlib/mplfinance/blob/master/examples/addplot.ipynb)**\n",
    "  - **[Saving the Plot to a File](https://github.com/matplotlib/mplfinance/blob/master/examples/savefig.ipynb)**\n",
    "  - **[Customizing the Appearance of Plots](https://github.com/matplotlib/mplfinance/blob/master/examples/customization_and_styles.ipynb)**\n",
    "  - Technical Studies (presently in development)\n",
    "  - **[Latest Release Info](https://github.com/matplotlib/mplfinance#release)**\n",
    "  - **[Some Background History About This Package](https://github.com/matplotlib/mplfinance#history)**\n",
    "  - **[Old API Availability](https://github.com/matplotlib/mplfinance#oldapi)**\n",
    "\n",
    "---\n",
    "## <a name=\"newapi\"></a>The New API\n",
    "\n",
    "This repository, `matplotlib/mplfinance`, contains a new **matplotlib finance** API that makes it easier to create financial plots.  It interfaces nicely with **Pandas** DataFrames.  \n",
    "\n",
    "*More importantly, **the new API automatically does the extra matplotlib work that the user previously had to do \"manually\" with the old API.***   (The old API is still available within this package; see below).\n",
    "\n",
    "The conventional way to import the new API is as follows:\n",
    "\n",
    "```python\n",
    "    import mplfinance as mpf\n",
    "```\n",
    "\n",
    "The most common usage is then to call\n",
    "\n",
    "```python\n",
    "    mpf.plot(data)\n",
    "```\n",
    "\n",
    "where `data` is a `Pandas DataFrame` object containing Open, High, Low and Close data, with a Pandas `DatetimeIndex`.\n",
    "\n",
    "Details on how to call the new API can be found below under **[Basic Usage](https://github.com/matplotlib/mplfinance#usage)**, as well as in the jupyter notebooks in the **[examples](https://github.com/matplotlib/mplfinance/blob/master/examples/)** folder.\n",
    "\n",
    "I am very interested to hear from you regarding what you think of the new `mplfinance`, plus any suggestions you may have for improvement.  You can reach me at **dgoldfarb.github@gmail.com**  or, if you prefer, provide feedback or a ask question on our **[issues page.](https://github.com/matplotlib/mplfinance/issues/new/choose)**\n",
    "\n",
    "---\n",
    "\n",
    "# <a name=\"usage\"></a>Basic Usage\n",
    "Start with a Pandas DataFrame containing OHLC data.  For example,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(20, 5)"
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     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
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       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-01</th>\n",
       "      <td>3050.72</td>\n",
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       "      <td>3050.72</td>\n",
       "      <td>3066.91</td>\n",
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       "    <tr>\n",
       "      <th>2019-11-04</th>\n",
       "      <td>3078.96</td>\n",
       "      <td>3085.20</td>\n",
       "      <td>3074.87</td>\n",
       "      <td>3078.27</td>\n",
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       "    <tr>\n",
       "      <th>2019-11-05</th>\n",
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       "      <td>3074.62</td>\n",
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      ],
      "text/plain": [
       "               Open     High      Low    Close     Volume\n",
       "Date                                                     \n",
       "2019-11-01  3050.72  3066.95  3050.72  3066.91  510301237\n",
       "2019-11-04  3078.96  3085.20  3074.87  3078.27  524848878\n",
       "2019-11-05  3080.80  3083.95  3072.15  3074.62  585634570"
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     "execution_count": 2,
     "metadata": {},
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    },
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       "      <th>2019-11-26</th>\n",
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       "    <tr>\n",
       "      <th>2019-11-27</th>\n",
       "      <td>3145.49</td>\n",
       "      <td>3154.26</td>\n",
       "      <td>3143.41</td>\n",
       "      <td>3153.63</td>\n",
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       "    <tr>\n",
       "      <th>2019-11-29</th>\n",
       "      <td>3147.18</td>\n",
       "      <td>3150.30</td>\n",
       "      <td>3139.34</td>\n",
       "      <td>3140.98</td>\n",
       "      <td>286602291</td>\n",
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      "text/plain": [
       "               Open     High      Low    Close     Volume\n",
       "Date                                                     \n",
       "2019-11-26  3134.85  3142.69  3131.00  3140.52  986041660\n",
       "2019-11-27  3145.49  3154.26  3143.41  3153.63  421853938\n",
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      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "daily = pd.read_csv('examples/data/SP500_NOV2019_Hist.csv',index_col=0,parse_dates=True)\n",
    "daily.index.name = 'Date'\n",
    "daily.shape\n",
    "daily.head(3)\n",
    "daily.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<br>\n",
    "\n",
    "After importing mplfinance, plotting OHLC data is as simple as calling `mpf.plot()` on the dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import mplfinance as mpf\n",
    "mpf.plot(daily)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<br>\n",
    "\n",
    "The default plot type, as you can see above, is `'ohlc'`.  Other plot types can be specified with the keyword argument `type`, for example, `type='candle'` or `type='line'`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(daily,type='candle')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VK7hx4wYtWrSgSpUqBAQEMHjwYAIDA3n55Zc5ePAgPXv2ZO3atbi7u9vrlEQeGklJSRzYt4e9e24G577dOzl37uxt6zg5OVHhqUo8XaUaT1epTqXKVe+4fVutRgCdu75GcnIyB/fvYeuWjWzdvJ79e3ezd/dO9u7eybTJY/Hw9KJ6jQAC6tQjoE49SpYq/VAOQhB5NIJTJ6PwzZuPpyo+bXQ5cg92C1JnZ2cmTJiAv//Ne/w1a9ZkypQpmEwmQkNDuXDhAuvWrbttm4YNG1KsWDHMZjOenp6UKVOGI0eO8NRTT7Fjxw6mTp0KwFNPPUWBAgXYsWMHgYGB9jolkYfCyGEhfDf3GxISEm773Nvbh6erVKNS5WpUrlKDChX/R+7cHunap4uLC5Wr1qBy1Rq83WcgsbHX2Ll9K1s3b2Dr5g1EHo1g3c+rWPfzKgD8HitIQO1AAurWo05gA/LmzZfl55kd3boarVe/IU5OTgZXI/dityDNnz8/+fPnByAlJYXFixfToEEDvL298fb25sKFC3dsU7NmzbQ/X79+nX379tGtWzeioqLw9fUld+7cacuLFCnC8ePHFaQiWejSxQuEff0ZVquVEiUf5+kq1W9ecVauRomSj2M2Z03Hfy+vPDRo2IQGDZsAcPbsGbZtvnm1unXLRs79Fc2iBd+yaMG3+Pj4smjZOooULZYlx87O1q/9Z1hAyb7s3tkoLCyM0NBQihQpwvTp09O1TVJSEn379qV+/fpUqlSJ3bt34+bmdts6bm5u3Lhx445tTSYT/vk9s6T2zHJ1dso2teQ0alvb2LjmR6xWK40aNWbJ0mV2O65//ieoUvEJ3u71GhaLhd9+O8Tan9fy/Xfz2L9/P5PGDuOH+QvsVo+t3e3nNyYmhj27tuPs7Ey71s/h46Of7weRFd8NZvP9HyvYPUi7dOlC586dWb58Oe3bt2fFihX3fa4ZFxfHW2+9hZ+fH8OHDwcgV65cJCYm3rZeQkLCbVeot1itVs6cv561J/GA/PN7Zptachq1rW0s/nEpAI0aNza0ffP6laDtiyWo2yCYRvWqsfSnJXw3/yfqBNY3rKasdLef32VLfiI1NZXqNWsTl+RMnH6+H0hWfDdYLNb7hqndBmSIjIxk27ZtwM2rxODgYOLi4jh+/Pg9t0lJSaFXr16UKlWKjz76KO02UtGiRYmJieHav7rWHz16lFKlStn2JEQeIikpKWzauBaAoKAmBldzk99jBXizdz8ARgx9j6SkJIMrsp1bs708o7lHsz27Benly5cZMGAA586dA2DPnj0kJydTuHDhe24ze/ZsPDw8CAkJue1zT09PAgICmDt3LgC//PILMTExVKtWzXYnIPKQ2b93F9euXqV4iVKUzEa/pHZ5pQfFipfkWOQRZn0zw+hybCI1NZVN638GNNuLI7Dbrd2qVavSo0cPunbtisViwdXVlUmTJrFz507Gjh1LQkICFy9eJCgoCD8/P8LCwvjuu++Ij48nKCgobT9BQUG88847DB8+nIEDB7Jo0SI8PT2ZMmUKrq6u9jodkRxvw7qb73QHPtPQ4Epu5+bmxuDhH9GtczumTh5L85ZteTS/n9FlZakD+3YTE3OZIkWLU7xE9vklRu7Ors9IX3rpJV566aU7Pq9f/+7POcLDw++5r8cee4ywsLAsq01Ebrfx7xlH6tXPXkEKN8O9/rNBrPt5FeM+Gs7YSaFGl5Sl1v38z9yjD+P7s45Gg9aLyB3+OhvNH78fIleu3FStXsvocu4qZMgoXFxdWbTgW/bt3WV0OVnq1rCAeu3FMShIReQOGzfcfD5Xq3bgHa+aZRfFipeg+2u9APhw8MA7hid0VNFnTnH4j9/w8PDMtr/EyO0UpCJyh43rsu9t3X/r0asPfo8V5NeD+5j//Ryjy8kSt55NB9Spl21/iZHbKUhF5DZJSUlp818GPvOsscX8Bw8PT97/4EMAxo/5kGtXrxpcUealDVKv114choJURG6zZ9d24uKuU/qJshT0v/fradlFs+dbUbV6LWIuX+KTiR8ZXU6mxMffYNuWTUD2vxsg/1CQishtNjjIbd1bTCYTQz4cg9lsZk7Yl0Qc/t3okh7Y9m2bSUxMoMJTlXLcKz05mYJURG6zYf2t90cdp8do2XIV6PBSV1JTU/lw6HtYrVajS3og63/W3KOOSEEqImlOnYwi8sifeHp58XQVxxoprE+/Qfj4+LJ922ZWrfjJ6HIyzGq1/jMsoF57cSgKUhFJc2sQhtp16+Pi4mJwNRnj4+vLuwM+AOCjER8QH3/nbFDZ2Z+Hf+Ns9Bkeze9H+QoVjS5HMkBBKiJp0kYzymbDAqbXCx27ULZ8BaLPnObz0E+MLidDbs09GvhMwyyb51XsQ/+3RASAhPh4ftm6GYC69RoYXM2DcXJyYuiHHwMw49NPOHUyyuCK0u/Way/19dqLw1GQiggAO7ZvJSEhnvIVKpLf7zGjy3lgVarV5PmWbUlKTOSjER8YXU66XLx4kX17duHi6kqtOoFGlyMZpCAVEcDxb+v+24D3h5E7twerVy1jy6b1Rpfzn9asDsdqtVKtegCenl5GlyMZpCAVkZs9Rm89o3OQ90fv57ECBW+bADw5Odngiu5vxYoVgOYedVQKUhHhxPFITp08gY+PLxX/V9nocrLEy916Uqx4SSKPRmTrCcCTk5P5eY1me3FkClIRSRvNqG69Bjg5ORlcTdZwc3Pjg2GjAZgy6WMunD9ncEV3t3f3Tq5cuULJUqUpWqy40eXIA1CQikhakOaE27r/Vq9+I555tjFx12MZP+ZDo8u5qw3rbvbW1dWo41KQijzk4uKus3PHVkwmE3XrZe/ZXh7EoCGjcXF1ZeH8edlyAvB1fz+b1rCAjktBKvKQ27ZlE8lJSfzv6Sr4+uY1upwsV6x4Cbq9+iaQ/SYA37t7B5FH/sTb25vKVaobXY48IAWpyENu4/q/O7o40CD1GdXzrXfTJgBf8MNco8sBYO+enbzSuS0AHTq+6HBDMso/FKQiDzGr1Zpjn4/+m4eHJ+8NGg5kjwnAd+3YRtcXW3M9NpYmwS0YO268ofVI5ihIRR5iEYd/56+z0Tya349y5SsYXY5NBTdvTdVqNbl86SJTJo0xrI7tv2zhlU5tiYu7zvMt2jBp6he6GnVwClKRh1ja3KP1ns3xA6WbTCYGf/gxZrOZ2TO/MGQC8K2bN9C9czvi42/Qqk0Hxk3+DGdnZ7vXIVkrZ//LEZH7ehhu6/5bufIVaP/iy6SmptL1pTZs27LRbsfeuP5nXu3anoSEeNp16MyYCdNyzDu7D7sMBanFYmHt2rXMmDGDEydOcO3aNU6fPm2r2kTEhq5dvcre3TtwcnKidp16RpdjN/0GDqFy1eqcO3eWLh1b8vGoISQlJdn0mOt+XkWP7i+SlJhIx06vMHLMpBx/B+Bhku7/k2fPnqVhw4b06tWLSZMmcfr0aSIiImjevDkHDx60ZY0iYgNbNq8nNTWVylVr4JXH2+hy7CaPtzdzf1hG777vYzab+eKzqbRp3pDIoxE2Od7qlct487XOJCcl0bnrawwfNV4hmsOk+/9mSEgICQkJvPHGG1itVgB8fX3JnTs348aNs1mBImIbG/++rVvvIbmt+2/Ozs689c4Avl24gsJFivL7oYM0b1KPb+d8k/b9lhVWLPuRt9/oSnJyMq+8+iaDh4/BZDJl2f4le0h3kO7bt49u3brRoUOHtM9KlixJ586d+eOPP2xSnIjYhsViYeOGn4GcMW3ag3q6cjV+WrWJFq1fICEhnsHvv0vP7i9x+fKlTO976Y8L6NOrOykpKbz+5ju8P3iEQjSHSneQ+vr6Eh0dnfaDcOu/hw4dwsPDwzbViYhN/H7oIBcvnKdAQX8ef6Ks0eUYyssrD+Mnf8akqV/g6eXFz6tXENywNls3b3jgfS5e8B19e79OamoqvXr3p9/AIQrRHCzdQVqzZk3mzp1L165dMZlMTJ48mQYNGrB69Wrq1q1ryxpFJItt+NdtXX3B3/RcizYsC99Clao1OH/+L7p0bMlHIwaTmJiYof3M/24OA959A4vFwjt9Q3inX4jaOIdLd5AOHDiQypUrExERgdVq5ddff+XMmTNUrlyZAQMG2LJGEcliae+PPsS3de+mUOEizPlhKe/0DcHJyYmvZkzLUEekb+d8w/v938JqtdLvvSH0eqe/jSuW7CDdbwJ7e3szZ84cDh8+zLFjx3B3d6d48eIUL67580QcyeXLlziwbzcurq7UDNDdpP/P2dmZXu/0p1adQPq+/Rp//PYrzZvUY9DQUbR/8eV7Xl3OmjmDDwcPBOC9D0bQ/fVe9ixbDJShPth79uzh8OHDNG3alPr167Ny5Up27Nhhq9pExAY2b1yL1WqlWvUAPDw8jS4n27rVEallm/b/2RHp6y9C00J08PAxCtGHTLqDdN26dXTp0uW24NyyZQtdu3Zl3bp1NilORLLew/zaS0Z5eeVh3KRPmTztS7zy5OHn1Sto1jCALZvWp60z49NPGP3hIACGjxpPl1deN6pcMUi6g3TatGk89thjtG3bNu2z3r17U6hQIaZPn26T4kQka6WmprJpw1pAQZoRwc1bsyx8M1Wq1uDC+XO8/GIrRn/4AVMnj2Xs6GGYTCZGjf2EFzt3M7pUMUC6g/TYsWN06tSJp59+Ou2z6tWr07FjR44dO2aT4kQkax3Yv4crV2IoUrQ4xYqXNLoch+JfqAhz5y+jT79BODk58fUX0/lkwkeYTCY+njCdFzp0NrpEMUi6g9THx4dNmzYRHx+f9llsbCxr167F01PPWUQcwa3bus80aKRXMh6Ak5MTb/bux3eLVlK4SDGcnJwY/8lntGrb4b83lhwr3b1227dvz+TJk6lRowYFCxbEYrEQHR19c9SO1/VMQMQR6LWXrFHp6aqEr99B7LWr5HvkUaPLEYOlO0hfe+01YmNjmTNnDsePH7+5sbMzHTt25K233rJZgSKSNc6f+4vffj2Au3suqtcIMLoch+fq6qoQFSADQWo2m+nfvz+9e/cmKiqK1NRUChcurOEBRRzErU5GNWvXxc3d3eBqRHKO+wbprl27KF68OI888gi7du26Y/nvv/8zw3zVqlWzvjoRyTLr160GHu5B6kVs4b5B2rlzZ0aOHEnr1q3p1KnTPTsnmEym20L1XsLDwwkNDSUxMRFfX1+GDx9O6dKluXTpEv369eP06dOsWbMmbf2kpCSGDx/O7t27cXJyon379nTufLNnXHR0NIMGDSI6OprcuXMzcOBAatSokZFzF3loJCcnp737qOejIlnrvkFapUoVHnnkESDzV5zR0dEMHTqUhQsX4u/vT1hYGCEhIXz55Ze8+OKLBAYGcvr06du2mTlzJlevXmXlypVcvXqV1q1bU6lSJSpUqMDgwYMJDAzk5Zdf5uDBg/Ts2ZO1a9firltWInfYs3sHcddjKVW6DIUKFzG6HJEc5b5BOnv27Lv++YEO5OzMhAkT8Pf3B27OJjNlyhRMJhOhoaFcuHDhjhGSVq1axTvvvIPZbMbX15egoCBWrVpFsWLF2LFjB1OnTgXgqaeeokCBAuzYsYPAwMBM1SmSE21Mu637rMGViOQ86X6PtFKlSsydO/eBD5Q/f34CAm72FExJSWHx4sU0aNAAb29vSpQocddtjh8/TpEi//z2XKRIEY4dO0ZUVBS+vr7kzp37tmW3ehOLyO1uTZsWWL+RwZWI5Dzp7rVbp04dduzYQceOHTP1IndYWBihoaEUKVLkP4cWTEhIwM3NLe3v7u7uxMfH3/E5gJubGzdu3LhjHyaTCf/82WPACFdnp2xTS06jtr23qKgojkQcxsvLi+ebNsDV1TXD+1D72pba13ayom3N5vtnXrqDNF++fKxatYq6detSunRpcuXKlbbMZDKl3Wb9L126dKFz584sX76c9u3bs2LFins+18yVK9dtk+rGx8eTO3fuOz6Hm6H77yvUW6xWK2fOX09Xbbbmn98z29SS06ht7+2HBUsAqFW7HheuJAFJGd6H2te21L62kxVta7FY7xum6Q7Sb7/9Nu3PFy5cuG1Zeq5QIyMjOXfuHLVq1cJkMhEcHMyIESM4fvw4ZcuWvRsqqL4AACAASURBVOs2JUqU4NixYxQrVgyAo0ePUqpUKYoWLUpMTAzXrl0jT548actat26d3tMReWj8c1tXvXVFbCHdQTp69OhM3dK9fPkyAwYMYOHChfj5+bFnzx6Sk5MpXLjwPbdp0qQJ8+bNIzAwkEuXLhEeHs6XX36Jp6cnAQEBzJ07l549e/LLL78QExNDtWrVHrg+kZwoMSGBX7ZuAiCwnjoaidhCuoM0ODiYlJSUu94+TY+qVavSo0cPunbtisViwdXVlUmTJrFz507Gjh1LQkICFy9eJCgoCD8/P8LCwujcuTPHjh0jKCgIJycnevXqRZkyZQAYPnw4AwcOZNGiRXh6ejJlypQHevYjkpPt3LGN+PgblC1fAb/HChhdjkiO9J9BGhcXxwcffMCaNWuwWCxUq1aN0aNHU7BgwQwf7KWXXuKll1664/P69evfdX0XFxdGjRp112WPPfYYYWFhGa5B5GGy8e9B6jWakYjt/OfrL6GhoaxcuZLU1FTMZjPbt2+nX79+9qhNRDLp1vNRTeItYjv/GaRLly6lYsWKbN++nf3799O5c2f27dtHZGSkPeoTkQd04ngkJ45H4u3tQ8VKVYwuRyTH+s8gvXjxIs899xze3t44OzvTqVMnrFYr58+ft0d9IpJBkUcjGDdmOC+2fQ6AOoH1cXZOd3cIEcmg//zXZbFYbnvP89b7o6mpqbarSkQy5NrVqyxfuoiF879l/95/ZmoqVrwkvd4ZYGBlIjlfun5NTUxM5Pr1my+03vpvQkJC2p8BPD01KoeIPaWmprJty0YWzZ/H6lXLSUxMAMDD04umwS1o064jT1epnqnX1kTkv6UrSEeOHMnIkSPT/m4ymXjrrbdu+3t6plETkcw7FnmERfO/ZfHC7zn3VzRw899grdqBtGrbgUZBweTO7WFwlSIPj3QFqdVqzdRyEcmc2GtXWb50MQvnz2Pfnn9u3RYpWpzWbTvSonU7/AtpejQRI/xnkB4+fNgedYjI/5OamsovWzexaP48wlcu++fWrYcnTYJb0LptB6pUq6lbtyIGU1c+kWzEarVycP9ewlct5afF8/nrbHTaspoBdWnVtgONmzynW7ci2YiCVMRgKSkp7N61ndUrl7J61bLbwrNwkaK0atuRlq3bU6iwbt2KZEcKUnF4/7zX/GDjQBshMTGRbVs2EL5yGWvXrCTm8qW0ZX6PFaRRUDOaNGtOlWo1MZv/83VvETGQglQcWmpqKn16vcqKZYt57Y3e9Bs4JNsGz/XrsWxc/zNrVi1j/bo1xF2PTVtWrHhJGjUJpnHQc1SoWCnbnoOI3ElBKg5tzMghrFi2GIAZoZ9w9sxpxkyYjpubm8GV3RQTc5l1a1YRvnIpWzavJ+lfE9KXe/IpGjUOplGTYB4vXUadhkQclIJUHNasb2bwzZehuLi48MHgIYz9+GOWLlnI+fPn+PSLOeTx9jakrr/ORrMmfDmrVy1j5/ataaOAmUwmqlStQcOgYBoFBVO4SFFD6hORrKUgFYe0JnwFI4a+B8DocVPo1bM7laoF0r1zO3b8soUXWgXx1awfKOh/74njs9qNG3GMGTmEb+d8k/ZutbOzM3UCG9AoqBnPNmrKo/n97FaPiNiHglQczoF9e+jTqztWq5V3+obQsnV7AMqVr8CCn1bzSud2HIk4TNvmjfki7HvKla9g85oO7t9L396vc/zYUVxcXHimQWMaNQnmmfqN8fbxsfnxRcQ46tEgDuVk1Ale7dqehIR42rzwEm/2vn1u3IL+hfl+4Uqq1Qjg3LmzdGjTjC2b1tusnpSUFKZ/Mp52LRtz/NhRSj9RlsXL1xH6xWxatHpBISryEFCQisOIiblM9y7tuHzpIgF1nmHERxPv2kHH28eHb+YsJPj5VsRdj6V7l3Ys/GFeltcTdeI4Hdo0ZdL4UaSkpPDKq2+yeNk6ypR9MsuPJSLZl4JUHEJiQgI9u73IscgjlClbnmmfz8TFxeWe67u5uTFx6he81vNtUlJSGNj3TaZOHpsl40JbrVbmfzeH54Pqsm/PLvweK8isb38kZMhI3P415aCIPBwUpJLtWSwWBrz7Brt3bcfvsYJ8EfY9Xl55/nM7s9nMgJDhDB0xFrPZzCcTPiJkQG+Sk5MfuJZLly7yxqudeL//W8TFXafZcy1ZvnoLtWoHPvA+RcSxKUgl2xv/8YcsX7oYD08vvgz7jgIF/DO0faeXX2X6jNm4u+di/nezef2VDsTFXf/vDf+fjevX0KxhAGvCl+Pp5cWEKZ8zefpX+Pj6ZnhfIpJzKEglW5s3+2tmhH6Ck5MT0z6bSdlyD9YDt2Hjpsz+fgm+efOxacNaOrYN5sL5c+naNj7+BkMH9aNb53ZcvHCeajUCWL56C81bttMgCiKiIJXsa/3acIZ90B+AkWMmUyewfqb2V+npqsz/cTVFihbnt18P0KZ5Q44e+fO+2/x6YB/Nm9Rj7qyvcHFxYUDIMGZ/t0Rzf4pIGgWpZEuHDu6n9xvdsFgs9Ordn7btX8qS/RYrXoL5S1ZT8X+VOXP6FC+0DGLXjm13rJeamkrolPG0bdGIY5FHKFW6DAuXruW1nr1xcnLKklpEJGdQkEq2c+b0SV7t2p4bN+Jo0foFevd9P0v3ny/fI8z54ScaNGzC1atX6PJiK1Ys+zFt+cmoE3Ro05SJ426+1vJytx78uGydXQZ2EBHHo5GNJFu5euUKr3Rux4Xz56hRqw6jx06xyXPIXLlyE/rFbD4cMpC5s77i7Z5diT5zGh8fX0YMfY+4uOv4+RXg44nTqV33mSw/vojkHApSyTYSExN547VORB75k8dLlyF0xmxcXV1tdjwnJyeGjRyHf6HCjB09jDEjB6ctC2rWnJEfTVKPXBH5TwpSyRasVishA95mxy9beDS/H1+GfW+X2VtMJhOv9exNgQL+DHj3DVzd3Bk2YiwtWr+gHrkiki4KUskWJo8fzZJFP5A7twdfzPze7r1in2vRhsrVauDunou8efPZ9dgi4tgUpGK477+dxfQp43FycmLKp1/zZIWKhtRRsGAhQ44rIo5NvXbFUJs2rGXI++8CMGzkOOrVb2RwRSIiGaMgFcNEHP6dt3p2JTU1ldfffIcOL3U1uiQRkQxTkIohYmIu83q3jsRdj6XZcy3pO2Dwf28kIpINKUjF7pKTk3mrx8ucOhnFkxX+x5gJ0zCb9aMoIo5J315id6OGh7B922YeeTQ/n341h1y5chtdkojIA1OQil19O+cb5oR9iYurK6FfzM7wlGgiItmNglTsZuf2rQwfPACAUWMm83TlagZXJCKSeQpSsYvTp07y5utdSElJodtrvWjVtoPRJYmIZAkFqdhcXNx1enTrSMzlS9St14ABIcOMLklEJMsoSMWmLBYL/d/pyeE/fqN4iVJMnvaV5vMUkRxFQSo2NXXyWFavWoZXnjx8/vU8uwxELyJiT3YN0vDwcJo3b05QUBAdOnQgIiICgJkzZ9KkSRMaN27MoEGDSEpKAuDChQv07NmTxo0b07RpU2bMmJG2r8OHD9O+fXsaN25M+/btOXz4sD1PRdJh5fIlTJ30MWazmU+mf02Jko8bXZKISJazW5BGR0czdOhQQkNDWbVqFUFBQYSEhLB//35mzZrF999/z8qVK7l06RJz5swBYMyYMRQvXpzw8HB++OEHFi5cyLZt2wDo06cP3bt3Jzw8nJdffpn+/fvb61QkHX7/7VcG9HkDgIGDPqRuvQYGVyQiYht2C1JnZ2cmTJiAv//N9wZr1qzJ8ePHWbVqFU2bNiVPnjyYzWY6dOjAypUrAYiIiKBmzZoAeHp68uSTTxIREcGff/5JbGwszz77LABBQUFcunSJyMhIe52O3Melixfo0a0j8fE3aNWmA6+8+obRJYmI2IzdgjR//vwEBAQAkJKSwuLFi2nQoAEnTpygSJF/5p4sXLgwx44dA26G7apVq0hJSeHcuXMcOHCAGjVqcOLECQoVun3Kq39vJ8ZJSkrizdc6E33mNP97uiojPpqoCbJFJEez+3ykYWFhhIaGUqRIEaZPn07//v1xdXVNW+7u7k58fDwAb731Fh07dqRGjRrcuHGDV155hTJlynD48GHc3Nxu26+bmxs3bty443gmkwn//J62Pal0cnV2yja12ILVauXNN/qye9d2Cvr7s2jRQgoUeMQux87pbWs0ta9tqX1tJyva1my+/8WA3YO0S5cudO7cmeXLl9O+fXuKFi2a1rkIID4+nty5b469+v7779O4cWPefPNNrl69Svfu3VmxYgW5c+cmMTHxtv0mJCTg4eFxx/GsVitnzl+37Umlk39+z2xTiy3M+mYG33z9NW5u7kz/fDYWJy+7nW9Ob1ujqX1tS+1rO1nRthaL9b5hardbu5GRkWkdhUwmE8HBwcTFxWEymW67JXv06FFKlSoFwNatWwkODsZkMuHj40NAQAC7du2iRIkSnDhxAovFAty8VXzixAlKlixpr9OR/2fr5g2MGh4CwJjxU6lQsZLBFYmI2IfdgvTy5csMGDCAc+fOAbBnzx6Sk5Pp2bNnWm/dlJQU5s2bR7NmzQAoXrw469evB25ece7YsYPHH3+cUqVK8eijj7Js2TIAfvzxRwoVKkTx4sXtdTqGOBJxmO/mhXH9eqzRpdzmxPFjvP33BN093uzDcy3aGF2SiIjdmKxWq9VeB5szZw7z5s3DYrHg6upK3759CQwMZNasWcydOxer1UqtWrX44IMPcHZ2JiIighEjRnD+/HmsVit16tTh/fffx9nZmT///JPBgwdz5coV8uXLx8iRI++4IvXx8cFisbLv9yh7neJ9ZeYWQ2zsNRrXq87583/hmzcfb7zVl44vdcXN3T2Lq8x4XW2aNyLyyJ/UfzaIz76aa8jcoro1ZltqX9tS+9pOVrRtpXJFMZtNXLly5a7L7Rqk9paTgnTU8EF882Uo7u65SEi42RmroH8h3u7zHi1av4Czs90fd9+8Au3WkfVrV/N46TL88GM4Xl557F4H6IvI1tS+tqX2tR17BKmGCHQAh/84xKxvPsdsNvPdopV8/vU8Sj9Rlugzp3mvXy+aNarN6pXLsPfvRBPHjWT92tX4+Pjy2VfzDAtREREjKUizOYvFwtBB/UhNTeXFzt14skJFGjRswtLwzYz/5DMKFS5C5JE/eeO1TrR5viG/bN1k03qsViuHDu5n9Icf8Pn0yTg5OTH1s5kULZazn0+LiNyL/e8HSoYsXvAde3bt4JFH89On36C0z52cnGjR6gWaBrfk+3lhTJ8yngP799CpfXMC6jxDv4GDs6znbHJyMrt3/sLqVcv4efUKzkafSVv2wbCPqBlQN0uOIyLiiBSk2diVmBjGjBoCwHsffHjXmVNcXV3p9PKrtGrbgbCvPmPGZ1PYunk9WzevJ6hZc/r0C6FkqdIZPvaNG3Fs3riONeHLWf9zOFev/vNswM+vAA0aNaHZc62oXjPgwU9QRCQHUJBmYxPHjiDm8iWq1Qigect2913Xw8OTN97uR8dO3Zjx6WTCvp7BquVLWL1yKa3bvchbfQZQsGCh++7j0qWLrP85nDXhy9myaT2JiQlpy0qWKk3Dxs1o2LgZFSpWMqRnrohIdqReu3aUkd5jB/fvpfXzz+Lk5MRPqzZR+omyGTrWX2ejmfbJWOZ/N4fU1FRc3dx4qXN3evTqQ968+dLWO3Uyip9Xr2D1qmXs2bU9bZALgIqVqtAoqBnPNmr6QFe19qRej7al9rUtta/t2KPXrq5Is6HU1FSGhPTFarXStXvPDIcowGMFCjJyzGS6vdaLyeNHs3zpYr7+YjrffzsrbTaWn8OX88fvh9K2cXFxIaDOMzRs3JQGDZvg91iBLDsnEZGcSkGaDX03dyaHft3PYwUK0uudAZnaV/ESpfgk9Gte7dmbiWNHsGnDWqZO+jhtuYeHJ4HPNKRh46bUq98Qrzx3PocVEZF7U5BmM5cuXmDC2BHAzR6xHh5ZMyPEkxUq8vXsBez4ZSuzw77A29uHRkHNqFGr7h0z6YiISPopSLOZj0cN5drVq9QJbEDjJs9l+f6r1wxQT1sRkSykrpfZyO6dv7Bowbe4uLoydMTHmhBbRMQBKEizieTkZIaE9AXg9TfeoVhxTQknIuIIFKTZxKxvZhDx5x8ULlKUHm+8Y3Q5IiKSTgrSbOCvs9FMmTgGgCEffox7rlwGVyQiIumlIM0GPhrxAXFx12nYuBnPNGhsdDkiIpIBClKDbd28geVLF+PunosPho02uhwREckgBamBEhMTGfZBfwDe7N0P/0JFDK5IREQySkFqoK9mTOP4saOULFWabq/1MrocERF5AApSg5w+dZLQKRMAGDZyHK6urgZXJCIiD0JBapARQ98jISGe4OdbaWJsEREHpiA1wNo1K1m7ZiUenl68P3ik0eWIiEgmKEjtLD7+BiOGvgfAO33f11RlIiIOTkFqZ59Nm8TpUycpU7Y8nV5+1ehyREQkkxSkdnQkIoIZn00BYPio8Tg7a/IdERFHpyC1E6vVSp93epOclESbdi9SuWoNo0sSEZEsoCC1k5XLl7B27c94e/vQP2SY0eWIiEgWUZDaQVzcdUYNHwRAv/eGkC/fIwZXJCIiWUVBageRRyI491c0VapWpV2HzkaXIyIiWUi9XeygQsVKfBn2PU0a1SM+xcnockREJAvpitQOTCYT9eo3Im/evEaXIiIiWUxBKiIikgkKUhERkUxQkIqIiGSCglRERCQTFKQiIiKZoCAVERHJBAWpiIhIJihIRUREMkFBKiIikgkKUhERkUxQkIqIiGSCXYM0PDyc5s2bExQURIcOHYiIiABg5syZNGnShMaNGzNo0CCSkpLStpk3bx7169enTp06DBkyhOTkZACio6Pp2rUrjRs3pmXLlmzfvt2epyIiIgLYMUijo6MZOnQooaGhrFq1iqCgIEJCQti/fz+zZs3i+++/Z+XKlVy6dIk5c+YAsHv3bmbOnMmCBQtYt24dcXFx7N27F4DBgwcTGBhIeHg4w4cPp2/fviQkJNjrdERERAA7BqmzszMTJkzA398fgJo1a3L8+HFWrVpF06ZNyZMnD2azmQ4dOrBy5UoAFi1axAsvvEDevHlxcXFhwoQJVK9endjYWHbs2EG7du0AeOqppyhQoAA7duyw1+mIiIgAdgzS/PnzExAQAEBKSgqLFy+mQYMGnDhxgiJFiqStV7hwYY4dOwbA4cOHuXHjBh07dqRx48ZMnDiR1NRUoqKi8PX1JXfu3GnbFSlShOPHj9vrdERERAADJvYOCwsjNDSUIkWKMH36dPr374+rq2vacnd3d+Lj4wGIjY1lz549zJgxg6SkJLp06ULhwoUpXrw4bm5ut+3Xzc2NGzdu3HE8k8mEf35P255UOrk6O2WbWnIata1tqX1tS+1rO1nRtmaz6b7L7R6kXbp0oXPnzixfvpz27dtTtGjR2zoXxcfHp11penl50axZMzw9bzZCq1at2LJlC+XKlSMxMfG2/SYkJNx2hXqL1WrlzPnrNjyj9PPP75ltaslp1La2pfa1LbWv7WRF21os1vuGqd1u7UZGRrJt2zbg5lVicHAwcXFxmEymtFu5AEePHqVUqVIAFCpUiOvX/2kAs9mMk5MTRYsWJSYmhmvXrt11OxEREXuxW5BevnyZAQMGcO7cOQD27NlDcnIyPXv2TOutm5KSwrx582jWrBkAzZs354cffiA2NpaEhAR++uknatasiaenJwEBAcydOxeAX375hZiYGKpVq2av0xEREQHseGu3atWq9OjRg65du2KxWHB1dWXSpElUrVqVbt260bFjR6xWK7Vq1aJDhw4ANGjQgMjISIKDg3F3d6d+/fq0atUKgOHDhzNw4EAWLVqEp6cnU6ZMue1Zq4iIiD2YrFar1egibMXHxweLxcq+36OMLgXQcxBbUtvaltrXttS+tpMVbVupXFHMZhNXrly563INESgiIpIJClIREZFMUJCKiIhkgoJUREQkExSkIiIimaAgFRERyQQFqYiISCYoSEVERDJBQSoiIpIJClIREZFMUJCKiIhkgoJUREQkExSkIiIimaAgFRERyQQFqYiISCYoSEVERDJBQSoiIpIJClIREZFMUJCKiIhkgoJUREQkExSkIiIimaAgFRERyQQFqYiISCYoSEVERDJBQSoiIpIJClIREZFMUJCKiIhkgoJUREQkExSkIiIimaAgFRERyQST1Wq1Gl2ErTg5OWGxWPDyymN0KQCYzSYslhzb3IZS29qW2te21L62kxVtGxt7DbPZTGpq6l2XO2dq79mcq6srSUlJmM0mo0tJk51qyWnUtral9rUtta/tZLZtzWYzrq6u91yeo69IRUREbE3PSEVERDJBQSoPDd18EUeln93sTUGajegfi22ZTHoGZSuRkZFYLBajy8ix9LObveXozkaO4tSpUxQuXBiTyYTVatU/miw2d+5cYmJiqFixImXLluWRRx4xuqQcpU+fPuTNm5fBgwcbXUqOM3PmTC5fvkyVKlUoX748+fLlM7okuQunYcOGDTO6iIfZ8OHDmT9/Pv7+/hQqVEhhmsXee+89jhw5gouLCxs3bsTNzY2yZcuqjbPI4MGDuX79Oh9//LHRpeQ4AwcOJDIyEjc3N9atW4eLiwvly5fXz242pCtSg50/f54CBQqwcOFCrFYrNWrUUJhmkdWrV3Pq1Cnmzp0LwNdff83SpUtp2bKl2jYLjB49mr1797J8+XIA1q5dy4ULF3jkkUd4/PHHKVq0qMEVOq5t27Zx5swZ5syZA8BXX33FnDlzaN68+X1fwxBj6BmpgWJiYkhMTKR27dr4+Pgwf/58tm/fDpAWpvLg8uTJw2OPPcbly5cBeOaZZ4iLi2PUqFHMnDmTyMhIgyt0XLGxsVitVmrXrs3FixeZO3cun3zyCbt37+bbb79lzJgx/PHHH0aX6bBcXV3x9PTk4sWLAHTo0AFXV1cuX76s74VsSLd2DZQrVy6KFi1KYGAgvr6+nDx5kj179pAnT560Z6axsbG4ubkZXapDSklJYfbs2Vy4cIEjR44wePBgGjVqRP78+YmIiOD06dNUrlwZs9msK9QMcnNzw9/fn3379rFx40Z+++03pk6dSsuWLSlfvjynTp3i/PnzPP3004A6y6SXxWLBZDLh5OSEk5MTTz75JC4uLlgsFhYvXkzDhg3JkycPJpOJuLg4XZ1mE7q1a2eTJk3i3LlzFCxYkOrVq1O9enUAnnzyScxmM4sWLWLBggU8+uijREVFceDAAd566y1cXFwMrtwx3GrfAgUK0KRJE6ZPn86KFSs4ePAgAQEB9OnTB4BFixaxevVqfRFl0C+//ELNmjUBKFmyJG3btuWzzz6jdOnS5M6dm9TUVEqVKkWhQoXYvXs3ZrNueqXXxx9/zNmzZ3nkkUd4/vnnadu2LXDzF8KYmBiSk5PTQnT58uUcPXqUN954Q98N2YB+yu3o/fffJzIykpo1a5KamkpISAjfffdd2vJy5crRqlUrihYtSp8+fRg1ahTPP/+8/qGk07/b12Kx0KNHDw4cOEDPnj1p0KABefL8M+ays7MzVquVuLg4Ayt2LNOmTaNr167MmDEj7bNy5crRr18/2rRpg4eHB05OTsDN2+q5c+cmKSnJqHIdyvvvv8/p06cJCgrCbDbz5Zdfcu7cOeDmmOHOzs64urqSJ08elixZwpQpUwgODtZ3QzahK1I7OXfuHBcvXuSLL74AICkpibJly9K/f38sFgsdO3YEbn4xhYeHExcXx4wZMyhVqpSRZTuMu7VvmTJlGDBgAElJSVSuXJnBgwenXTWtW7eOSZMm4eHhYXDljsNisdClSxeWLVtGcnIyb775JgBFihQBICoqijVr1hATE8O6deuYPHmyrvjT4cyZM0RHRxMWFgaAv78/I0aMID4+Hrh5W9zb2xs/Pz8+/PBDdu3axdSpUylZsqSRZcu/6IrUTnx9fYmNjU3rQerq6kpQUBATJ04kNDSUn3/+GYC9e/eyY8cOPv30U4VoBtytfZs0acKECROYOHEi8fHxfP7551y/fp2EhASmTp3KE088YXDVjsNisRAVFUXlypXp378/K1asIDQ09LZ1rly5wsmTJ7FYLEybNk3tm065cuUiMTGRnTt3YrVaqVChAh4eHkRFRQGQmppKSkoKcXFxab+glC5d2uCq5d/U2chOnJyciI2N5cSJE+TLl4/8+fMDUKJECcxmMwcOHKBu3bpYLBaCg4P16kAG3a99TSYTmzdvplOnTtSpU4fAwEDy5s1rcMWOxWQyUbNmTcqVK0eBAgXw9/dn1qxZXLlyhWrVqgHg4eFBUFAQtWvXVvtmgNlspnTp0pQpUyatY+HSpUspV65c2vdDamoq//vf/2jRooWuRLMhXZHaUf369Tl79ixLlizh8OHDwM0vqCeeeIIzZ86QmppK4cKF8fPzM7hSx3Sv9i1btizR0dF/T6mnH/kH5enpCdy82q9Tpw59+vRhxYoVzJ07l9WrV9OjRw+uX7+u1zMyyM3NjYoVK+Lp6YnFYsFiseDk5JT2PbBw4UK6d+9OoUKFKFGihMHVyt3oW8VGUlJSbvu7xWJJ60QUFRXF/PnzWbFiBQBXr17FarWSmJhoRKkOKaPtC6h9M+D/ty9w2y8hrq6u1K1blxEjRjBu3DjGjBnDkCFD8PT01Ksu/+FubXurk5bJZMJsNuPi4kK+fPlYsWIFM2fOZPDgwXoNLhvTfKQ2ZLFYWLNmDY0bN04b0NtsNnPs2DF+/PFHtm/fjru7O+fPn2fy5MmUKVPG4Iodi9rXtv7dvvcaaWvevHmEhYUxffp0PdPPgP9q25CQEA4fPkxycjITJkzQM9Hszio2c+DAAesTTzxhPXjwYNpnFovFarVarYmJidaYmBjrwYMHrefPnzeqRIem9rWtu7XvrGlGWAAABE1JREFUv505c8baq1cv6x9//GHnyhzfvdr21s/vwoULrc8995z16NGjRpQnGaTORlno1qgkt/j5+WG1WomIiKBKlSq3jaDj5OSEu7s7fn5+egUjndS+tpWR9oWbt3efeeYZChYsaES5DiW9bXtrnbx58/L8889TuHBho0qWDNAz0ixkNpuxWq1s3bo17bOnnnqKgwcPcv36dUwmk+ZszAS1r21ltH3d3NzSOiDJ/WWkba1WK35+fup06EB0RZoF/v3b5pIlSxg7diwHDx7kiSeeoGLFihw6dIgVK1bQpEkTdcR4AGpf21L72s6DtK3a2PGos1Empaam4uTkhNVq5dKlS8THx+Ph4cGoUaNISUnBx8eHli1bsmzZMl544QUef/xxo0t2KGpf21L72o7a9uGhIQIz4db7XhaLhV69enHt2jW8vLyoWrUqEyZMICIignnz5tG/f38uX75Mvnz59I8lA9S+tqX2tR217cNFt3YzyWQy0bt3b4oVK0ZISAg+Pj789NNP7Nu3jzZt2lCvXj2KFy+Oj48PTZo0IV++fEaX7FDUvral9rUdte1DxICewg5v4cKFaX/+66+/rJ06dbJGR0dbrdabr10cOnTI2r17d+v8+fPT1ktNTbV7nY5K7Wtbal/bUds+nNRrN4P++usvVq1axeDBg4Gb3dh9fX1Zs2YNN27cwPX/2rtj1tShOAzjrxTEUmytWutaRBEqrg4tgjgU/ATSj1DolA4d+hkchSx2cNVBwcmpTkIXBwsO7m66CIGgpMPFwuUOVXPPlOe3Znvk8Dd6chIOK5PJ6Obm5uc1SJI4mm5P9DWLvubQNrj4BA+USqVkWZZc1/1ZMOVyWePxWOPxWOv1WpFIRPF4XKvVStvtlrNHD0Bfs+hrDm2Di127R9hsNprP57JtW4lEQm9vb2o2m5rNZgqFQsrn8+p2u7Jtmzc1HIG+ZtHXHNoGE5uN9tBoNDSZTHR+fi7HcXR5ealkMqlcLqfRaKTPz09ZlqXr62u5rivXdWVZFgtlT/Q1i77m0BYSd6S/WiwWqlQqkqSnpycNBgOVy+WfnXbL5VK9Xk+xWEyWZUn6s/Wd/z32Q1+z6GsObbHDHekvotGoHh4e1O/3Va1W9fr6qnA4rOFwqK+vL7XbbZ2dnanT6cjzPJVKJUmcTrIv+ppFX3Noix0OZNhDNptVq9XS4+OjTk5OVK/XValU5HmePj4+tFqt5DiOarWaJBbKoehrFn3NoS0k8RzpISaTiXd7e+u9v7//c233+iMcj75m0dcc2gYbP+0eIJ1O6+7uTi8vL7q4uFCxWPzrOt82/aGvWfQ1h7bBxiA9UDqd1v39vZ6fn3V1daVCoSCJhfK/0Ncs+ppD2+Bi1+6RptOpTk9P2cZuCH3Noq85tA0eBikAAD7wQBMAAD4wSAEA8IFBCgCADwxSAAB8YJACAOADgxQAAB8YpAAA+MAgBQDAh2/mq2fVx4ENqwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(daily,type='line')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "<br>\n",
    "\n",
    "We can also plot moving averages with the `mav` keyword\n",
    "- use a scalar for a single moving average \n",
    "- use a tuple or list of integers for multiple moving averages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(daily,type='ohlc',mav=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(daily,type='candle',mav=(3,6,9))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "We can also display `Volume`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(daily,type='candle',mav=(3,6,9),volume=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice, in the above chart, there are no gaps along the x-coordinate, even though there are days on which there was no trading.  Non-trading days are simply not shown (if there are no prices for those days).\n",
    "\n",
    "- However, sometimes people like to see these gaps, so that they can tell, with a quick glance, where the weekends and holidays fall.  \n",
    "\n",
    "- Non-trading days can be displayed with the `show_nontrading` keyword.\n",
    "- For example, in the chart below, you can easily see weekends, as well as a gap at Thursday, November 28th for the U.S. Thanksgiving holiday."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(daily,type='candle',mav=(3,6,9),volume=True,show_nontrading=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "\n",
    "We can also plot intraday data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1563, 4)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-05 09:30:00</th>\n",
       "      <td>3080.80</td>\n",
       "      <td>3080.49</td>\n",
       "      <td>3081.47</td>\n",
       "      <td>3080.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-05 09:31:00</th>\n",
       "      <td>3080.33</td>\n",
       "      <td>3079.36</td>\n",
       "      <td>3080.33</td>\n",
       "      <td>3079.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-05 09:32:00</th>\n",
       "      <td>3079.43</td>\n",
       "      <td>3079.68</td>\n",
       "      <td>3080.46</td>\n",
       "      <td>3079.43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low\n",
       "Date                                                   \n",
       "2019-11-05 09:30:00  3080.80  3080.49  3081.47  3080.30\n",
       "2019-11-05 09:31:00  3080.33  3079.36  3080.33  3079.15\n",
       "2019-11-05 09:32:00  3079.43  3079.68  3080.46  3079.43"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-11-08 15:57:00</th>\n",
       "      <td>3090.73</td>\n",
       "      <td>3090.70</td>\n",
       "      <td>3091.02</td>\n",
       "      <td>3090.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-08 15:58:00</th>\n",
       "      <td>3090.73</td>\n",
       "      <td>3091.04</td>\n",
       "      <td>3091.13</td>\n",
       "      <td>3090.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-11-08 15:59:00</th>\n",
       "      <td>3091.16</td>\n",
       "      <td>3092.91</td>\n",
       "      <td>3092.91</td>\n",
       "      <td>3090.96</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Open    Close     High      Low\n",
       "Date                                                   \n",
       "2019-11-08 15:57:00  3090.73  3090.70  3091.02  3090.52\n",
       "2019-11-08 15:58:00  3090.73  3091.04  3091.13  3090.58\n",
       "2019-11-08 15:59:00  3091.16  3092.91  3092.91  3090.96"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intraday = pd.read_csv('examples/data/SP500_NOV2019_IDay.csv',index_col=0,parse_dates=True)\n",
    "intraday = intraday.drop('Volume',axis=1) # Volume is zero anyway for this intraday data set\n",
    "intraday.index.name = 'Date'\n",
    "intraday.shape\n",
    "intraday.head(3)\n",
    "intraday.tail(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "The above dataframe contains Open,High,Low,Close data at 1 minute intervervals for the S&P 500 stock index for November 5, 6, 7 and 8, 2019.  Let's look at the last hour of trading on November 6th, with a 7 minute and 12 minute moving average."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iday = intraday.loc['2019-11-06 15:00':'2019-11-06 16:00',:]\n",
    "mpf.plot(iday,type='candle',mav=(7,12))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "  The \"time-interpretation\" of the `mav` integers depends on the frequency of the data, because the mav integers are number of data points used in the Moving Average.  Notice above that for intraday data the x-axis automatically displays TIME *instead of* date.  Below we see that if the intraday data spans into two (or more) trading days the x-axis automatically displays *BOTH* TIME and DATE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iday = intraday.loc['2019-11-05':'2019-11-06',:]\n",
    "mpf.plot(iday,type='candle')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "In the plot below, we see what an intraday plot looks like when we **display non-trading time periods** with **`show_nontrading=True`** for intraday data spanning into two or more days."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(iday,type='candle',show_nontrading=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "Below: 4 days of intraday data with `show_nontrading=True`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(intraday,type='ohlc',show_nontrading=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "Below: the same 4 days of intraday data with `show_nontrading` defaulted to `False`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(intraday,type='line') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "---\n",
    "Below: Daily data spanning across a year boundary automatically adds the *YEAR* to the DATE format"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2519, 6)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2007-12-31</th>\n",
       "      <td>147.100006</td>\n",
       "      <td>147.610001</td>\n",
       "      <td>146.059998</td>\n",
       "      <td>146.210007</td>\n",
       "      <td>118.624741</td>\n",
       "      <td>108126800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-02</th>\n",
       "      <td>146.529999</td>\n",
       "      <td>146.990005</td>\n",
       "      <td>143.880005</td>\n",
       "      <td>144.929993</td>\n",
       "      <td>117.586205</td>\n",
       "      <td>204935600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2008-01-03</th>\n",
       "      <td>144.910004</td>\n",
       "      <td>145.490005</td>\n",
       "      <td>144.070007</td>\n",
       "      <td>144.860001</td>\n",
       "      <td>117.529449</td>\n",
       "      <td>125133300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2007-12-31  147.100006  147.610001  146.059998  146.210007  118.624741   \n",
       "2008-01-02  146.529999  146.990005  143.880005  144.929993  117.586205   \n",
       "2008-01-03  144.910004  145.490005  144.070007  144.860001  117.529449   \n",
       "\n",
       "               Volume  \n",
       "Date                   \n",
       "2007-12-31  108126800  \n",
       "2008-01-02  204935600  \n",
       "2008-01-03  125133300  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-12-27</th>\n",
       "      <td>267.380005</td>\n",
       "      <td>267.730011</td>\n",
       "      <td>267.010010</td>\n",
       "      <td>267.320007</td>\n",
       "      <td>267.320007</td>\n",
       "      <td>57751000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-28</th>\n",
       "      <td>267.890015</td>\n",
       "      <td>267.920013</td>\n",
       "      <td>267.450012</td>\n",
       "      <td>267.869995</td>\n",
       "      <td>267.869995</td>\n",
       "      <td>45116100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-12-29</th>\n",
       "      <td>268.529999</td>\n",
       "      <td>268.549988</td>\n",
       "      <td>266.640015</td>\n",
       "      <td>266.859985</td>\n",
       "      <td>266.859985</td>\n",
       "      <td>96007400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Open        High         Low       Close   Adj Close  \\\n",
       "Date                                                                     \n",
       "2017-12-27  267.380005  267.730011  267.010010  267.320007  267.320007   \n",
       "2017-12-28  267.890015  267.920013  267.450012  267.869995  267.869995   \n",
       "2017-12-29  268.529999  268.549988  266.640015  266.859985  266.859985   \n",
       "\n",
       "              Volume  \n",
       "Date                  \n",
       "2017-12-27  57751000  \n",
       "2017-12-28  45116100  \n",
       "2017-12-29  96007400  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('examples/data/yahoofinance-SPY-20080101-20180101.csv',index_col=0,parse_dates=True)\n",
    "df.shape\n",
    "df.head(3)\n",
    "df.tail(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x414 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpf.plot(df[700:850],type='bars',volume=True,mav=(20,40))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For more examples of using mplfinance, please see the jupyter notebooks in the **[`examples`](https://github.com/matplotlib/mplfinance/blob/master/examples/)** directory.\n",
    "\n",
    "---\n",
    " \n",
    "# <a name=\"release\"></a>Release Notes\n",
    "\n",
    "| Version  |  Description   | Release Date |\n",
    "|:---------|:-------------|:---------------|\n",
    "| 0.12.3a0   | - kwarg `block=False` for non-blocking call to `mpf.plot()`<br> - customize aspect ratio, figure title, y-labels<br> - customize colors and other `style` aspects of plot<br> - `no_xgaps` now defaults to True: use `show_nontrading=True` to set no_xgaps to false<br> - secondary y-axis available to `make_addplot()`<br> - bug fix for volume widths | 2020-02-11 |\n",
    "| 0.12.0a3   | Increase mav limit from 3 to 7 different mavs  | 2020-01-16 |\n",
    "| 0.12.0a2   | Ability to save plot to a file (pdf, svg, png, jpg, ...) | 2020-01-14 |\n",
    "| 0.12.0a1   | Ability to plot arbitrary user data (in addition to basic OHLCV data).<br> - both line and scatter plots available.<br> - optionally plot on either the \"main\" or \"lower\" (aka \"volume\") axis. | 2020-01-09 |\n",
    "| 0.11.x   | Basic Plotting from Pandas DataFrame of OHLC bars and candlesticks.<br> - optional display of volume<br> - optional display of (up to 3 different) moving averages.<br> - old API still available by importing from \"mplfinance/original_flavor\" | 2019-12-20  |\n",
    "| 0.10.x   | Old mpl-finance API set up as its own package<br> (i.e. removed from the matplotlib package). | 2016-09-08   |\n",
    "\n",
    "---\n",
    "\n",
    "## <a name=\"history\"></a>Some History\n",
    "My name is Daniel Goldfarb.  In November 2019, I became the maintainer of `matplotlib/mpl-finance`.  That module is being deprecated in favor of the current `matplotlib/mplfinance`.  The old `mpl-finance` consisted of code extracted from the deprecated `matplotlib.finance` module along with a few examples of usage.  It has been mostly un-maintained for the past three years.  \n",
    "\n",
    "It is my intention to archive the `matplotlib/mpl-finance` repository soon, and direct everyone to `matplotlib/mplfinance`.  The main reason for the rename is to avoid confusion with the hyphen and the underscore: As it was, `mpl-finance` was *installed with the hyphen, but imported with an underscore `mpl_finance`.*  Going forward it will be a simple matter of both installing and importing `mplfinance`.\n",
    "\n",
    "---\n",
    "### <a name=\"oldapi\"></a>old API availability\n",
    "\n",
    "With this new ` mplfinance ` package installed, in addition to the new API, users can still access the old API (at least for the next several months) by changing their import statments<br>\n",
    "**from:**\n",
    "\n",
    "```python\n",
    "    from mpl_finance import <method>\n",
    "```\n",
    "\n",
    "**to:**\n",
    "\n",
    "```python\n",
    "    from mplfinance.original_flavor import <method>\n",
    "```\n",
    "\n",
    "\n",
    "where `<method>` indicates the method you want to import, for example:\n",
    "\n",
    "\n",
    "\n",
    "```python\n",
    "    from mplfinance.original_flavor import candlestick_ohlc\n",
    "```\n",
    "\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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